Small Introduction About Delphi Programming?

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What is Delphi Programming?

Delphi is both an object oriented programming language (OOP) and an Integrated Development Environment (IDE). Published by the Embarcadero company (formerly CodeGear and more formerly Borland), Delphi is an alternative to language such as Visual Basic offering development with both rapidity and good quality.

It originated from the Pascal language, which then became Object Pascal (pascal with objects support). Delphi is based on the Object Pascal language. The IDE runs on Windows, but the compiler targets Windows, macOS, iOS, Android, and Linux. Third party add-ins provide the ability compile to JavaScript for web development.

Delphi includes the RunTime Library (RTL) that provides basic functionality across all the platforms. For Windows it provides the Visual Component Library (VCL), and for cross platform development it includes FireMonkey (FMX).

Delphi includes a code editor, a visual designer, an integrated debugger, a source code control component, and support for third-party plugins. The code editor features Code Insight (code completion), Error Insight (real-time error-checking), and refactoring.

The visual forms designer has traditionally used Visual Component Library (VCL) for native Windows development, but the FireMonkey (FMX) platform was later added for cross-platform development. Database support in Delphi is very strong. A Delphi project of a million lines to compile in a few seconds – one benchmark gave 170,000 lines per second.

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Kotlin is a general purpose, open source, statically typed “pragmatic” programming language for the JVM and Android that combines object-oriented and functional programming features. It is focused on interoperability, safety, clarity, and tooling support. Versions of Kotlin for JavaScript (ECMAScript 5.1) and native code (using LLVM) are in the works.

Kotlin originated at JetBrains, the company behind IntelliJ IDEA, in 2010, and has been open source since 2012.

Kotlin compiles to JVM bytecode or JavaScript. It is not a language you will write a kernel in. It is of greatest interest to people who work with Java today, although it could appeal to all programmers who use a garbage collected runtime, including people who currently use Scala, Go, Python, Ruby and JavaScript.

What is Julia Language?Julia is a high-level, high-performance dynamic programming language for numerical computing.

It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. Julia’s Base library, largely written in Julia itself, also integrates mature, best-of-breed open source C and Fortran libraries for linear algebra, random number generation, signal processing, and string processing. In addition, the Julia developer community is contributing a number of external packages through Julia’s built-in package manager at a rapid pace. IJulia, a collaboration between the Jupyter and Julia communities, provides a powerful browser-based graphical notebook interface to Julia.

Julia programs are organized around multiple dispatch; by defining functions and overloading them for different combinations of argument types, which can also be user-defined.

Each major programming language can incorporate JSON, which can be through either libraries or native support. However, no language can surpass JavaScript for parsing this data interchange format, which translates it directly into an object literal.

JSON is a popular as XML. Thus, each major language has one or more commonly used powerful libraries for formatting and parsing data in JSON format. Typically, only following two core functionalities are required:

Parse: Converts JSON data into the supported data structure of corresponding language, such as array, hash, or dictionary.

Format: Converts array, hash, or dictionary to JSON text.

Developers can easily find these functionalities for almost any modern language. For instance, Ruby incorporates JSON gem, Objective-C supports JSONKit, and Microsoft .NET Framework has Json.NET. Most of these libraries are fast and efficient, considering their extensive use and frequent optimizations over time.

While comparing various languages, it might be pointed out by some developers that using JSON in a C# or Java language is not practical. This is because the idioms supports statically typed classes and not objects of Dictionary or HashMap type. As a result, for generating JSON data, developers are required to use a library along with a custom code for converting these data structures to static type instances. Hence, there are some libraries created for this purpose. For instance, the Gson library from Google is designed for transforming JSON data to Java objects directly.

Gson

Gson is an open-source Java library for transforming an object in Java to JSON data and vice-versa. For this purpose, it offers easy means such as constructor (Factory Method) and toString(). This library also functions well with arbitrary Java objects, involving the pre-existing ones whose source code is not available with you. Following are the goals of Gson:

Converting already existing not-modifiable objects to and from JSON

Permitting custom representations for objects

Outputting legible and compact JSON data

Gson is capable of deserializing string of more than 25MB, deserializing 87,000 objects, and serializing of 1.4 million objects without any issues. Its 1.4 version has increased the deserialization bar from 80KB to more than 11MB, applicable for array and collections in bytes.

It is convenient to learn and use Gson. A developer needs to know two methods namely, toJson() and fromJson(). The toJson() method is used for transforming a Java object to JSON data whereas fromJson() for converting JSON data to an object in Java.